Senior Data Engineer - Chicago, United States - Nitel

Description

the position

We are in search of an experienced Senior Data Engineer with a specialization in network and application telemetry to spearhead our data initiatives.

This pivotal role involves leading the design, implementation, and management of complex data pipelines and architectures to process vast volumes of telemetry data efficiently.

The ideal candidate will bring a strategic vision to our data handling capabilities, driving improvements and innovations that enable advanced analytics and data-driven decision-making across the enterprise.

your playbook

Lead the design and construction of scalable and reliable data pipelines to capture, process, and store large-scale network and application telemetry data.

Architect and optimize data models and storage strategies to support advanced analytical and machine learning and AI applications.
Champion data quality, implementing rigorous monitoring and validation processes to ensure accuracy and reliability of telemetry data.

Collaborate with cross-functional teams, including network engineers, application developers, and data scientists, product management, and customers to define data requirements and integrate data-driven insights into business processes.

Drive the evaluation and adoption of cutting-edge technologies and methodologies in data engineering, ensuring our data infrastructure remains at the leading edge while optimizing costs.

Mentor junior data engineers, fostering a culture of technical excellence and continuous learning
Lead initiatives to improve data governance, security, and compliance practices within the telemetry data domain.

skills you bring to the field
Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field
3-5+ years of experience in data engineering, with a significant portion dedicated to handling telemetry data from networks and applications
Expertise in programming and scripting languages such as Python, Scala, or Java
Deep understanding of big data technologies (e.g., Hadoop, Spark, Kafka) and experience with NoSQL and time-series databases
Proven track record of designing and optimizing data architectures for performance and scalability
Strong knowledge of network protocols, application performance metrics, and telemetry data collection techniques
Demonstrated ability to lead projects and collaborate across teams
Exceptional critical thinking skills and the ability to work in a fast-paced, evolving environment
Experience with cloud data services and platforms (AWS, Azure, GCP), particularly those related to data processing and storage, preferred
Knowledge of DevOps practices, including automation, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation), preferred
Certifications in big data technologies or cloud platforms are a plus, preferred

Our rally cry
Put Customers First
Think as an Owner
Win as a Team
Act with Integrity
Be Better Every Day

This is an exciting opportunity for a Senior Data Engineer to contribute to data-driven decision-making and make a significant impact on our organization's success.

If you are passionate about data analysis and machine learning and are eager to tackle challenging data problems, we encourage you to apply and become a part of our innovative team.

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